We are seeking a talented and driven Machine Learning Engineer to join MDPI’s Team Data Intelligence (DI). The DI team is dedicated to developing a cutting-edge data intelligence platform designed to enhance data-driven decision-making and operational efficiency. Our platform integrates data from multiple sources, providing actionable insights into company performance, market dynamics, and emerging trends. In this role, you will primarily collaborate with the DI team, composed of senior and junior data scientists, while also engaging with the AI and Data Engineering teams to leverage a shared microservices-based infrastructure.

This is a fully in-office role based in Kraków


Tasks & Responsibilities:
As a Senior Machine Learning Engineer, you will be responsible for:
- Platform Development: Contribute to the development of the Data Intelligence platform, designed to centralize data and provide advanced performance analysis, trend alerting systems, and market insights to support data-driven decision-making across the organization.
- Team Collaboration: Work closely with the AI and Data Engineering teams to support a shared, modular system architecture, ensuring a flexible and scalable environment for machine learning and data analytics applications.
- Model Integration: Support the integration of machine learning models into the platform. This includes building APIs to deliver model outputs to a frontend interface developed in frameworks like Vue, React, or Next.js.
- Data-Driven Solutions: Develop, deploy, and optimize machine learning models that align with strategic goals, such as monitoring market trends, supporting journal performance analysis, and forecasting key business metrics.
- Advanced Engineering Features: Contribute to the creation of innovative platform features, such as automated alert systems and tools for advanced data analysis, designed to uncover insights that inform MDPI’s strategic objectives.

Requirements:
- Education: Bachelor or master degree in computer science, Data Science, Machine Learning, or a related field.
- Experience: 5+ years of experience in machine learning or data engineering, with a track record of deploying models into production.
- Technical Skills: Proficiency in Python; experience with frameworks such as FastAPI and strong familiarity with data engineering tools (e.g., Airflow, Docker, Kubernetes) and microservices-based architecture. Engineering skills in deploying scalable, containerized applications and managing orchestration with Kubernetes are particularly valued.
- Frontend Development (Preferred): Experience with front-end technologies such as Vue.js, React, or Next.js is a plus, particularly for integrating model results into an intuitive user interface.
- Data Science & NLP: Strong understanding of NLP techniques, time series analysis, and predictive modelling.
- Collaboration and Communication: Proven ability to work effectively across teams, especially in data engineering, analytics, and AI-focused environments.
- Problem-Solving: Demonstrated skill in analyzing complex data problems and developing impactful solutions.
- Project Management: Familiarity with Agile and Scrum methodologies, with experience using project management tools.

What we offer:
- Be part of a dynamic and innovative team working with on-premises infrstructure.
- Opportunity to shape the DevOps practices and drive impactful DevOps projects.
- Work in a collaborative environment that values creativity and diversity.
- Private medical care (fully covered).
- MultiSport card (partially covered).
- Team building activities.

If you are interested in this position, we look forward to receiving your complete application. Please submit your CV in English. We look forward to welcoming you to our Krakow office.

About MDPI
A pioneer in scholarly, open access publishing, MDPI has supported academic communities since 1996. Headquartered in Basel, Switzerland, MDPI has the mission to foster open scientific exchange in all forms, across all disciplines.

We operate currently over 400 diverse, peer-reviewed, open-access journals supported by over 66,000 academic editors. We serve scholars from around the world to ensure the latest research is openly and broadly available.

Besides our main publishing business, we develop and maintain digital platforms and software ranging from scientific exchange platforms to article databases and search engines, all focused on empowering scholars and giving them the best possible product and service. As of the end of 2022, we count more than 6700 colleagues in 17 offices across 11 countries.

Initiatives
At MDPI, we develop and maintain various platforms in order to better serve the scientific community. Please find below a list of our main platforms:
https://www.mdpi.com/
https://sciprofiles.com/
https://sciforum.net/
https://www.scilit.net/
https://www.preprints.org/
https://encyclopedia.pub/
https://www.mdpi.com/books/

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